Related Experiment Video
Updated: Jun 27, 2025
Evaluating Autophagy Levels in Two Different Pancreatic Cell Models Using LC3 Immunofluorescence
Published on: April 28, 2023
Construction of a prognostic model for autophagy in Wilm's tumor
Haoyu Shi1, Min Zhang2, Youbo Zhang1
1Department of Pediatric Surgery, Affiliated Matern and Child Care Hospital of Nantong University, 399 Century Avenue, Chongchuan, Nantong, Jiangsu, China.
Background:
Wilm's tumor (WT) is one of the most common childhood urological tumors, ranking second in the incidence of pediatric abdominal tumors. The development of WT is associated with various factors, and the correlation with autophagy is currently unclear.
Purpose:
To develop a new prognostic model of autophagy-related genes (ATG) for WT.
Methods:
Using the Therapeutically applicable research to generate effective treatments (TARGET) database to screen for differentially expressed ATGs in WT and normal tissues. ATGs were screened for prognostic relevance to WT using one-way and multifactorial Cox regression analyses and prognostic models were constructed. The risk score was calculated according to the model, and the predictive ability of the constructed model was analyzed using the ROC (receiver operating characteristic) curve to verify the significance of the model for the prognosis of WT.
Results:
Sixty-eight differentially expressed ATGs were identified by univariate Cox regression analysis, and two critical prognostic ATGs (CXCR4 and ERBB2) were identified by multivariate Cox regression analysis. Patients were divided into high-risk and low-risk groups according to the differential expression of these two ATGs. Kaplan-Meier (KM) curves showed a significant difference in survival time between the two groups. The critical prognostic ATGs were combined with race, age, and stage in a multifactorial regression analysis, and the final prognostic model was produced as a line graph.
Conclusion:
The prognostic model of autophagy-related genes composed of the CXCR4 gene and ERBB2 gene has a specific predictive value for the prognosis of WT, and the present study provides a clear basis for future research on biomarkers and therapeutic targets.
